iPad17,3
Geekbench AI Score
5222
Single Precision Score
42791
Half Precision Score
60325
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 24 2025 06:56 PM |
| Views | 20 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad17,3 |
| Model ID | iPad17,3 |
| Motherboard | J820AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.43 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.05 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2233
415.3 IPS |
|
|
Image Classification (HP)
|
100% |
19203
3.57 KIPS |
|
|
Image Classification (Q)
|
97% |
26826
5.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2235
36.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
24516
397.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
34145
553.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10404
12.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
178047
207.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
330667
387.6 IPS |
|
|
Object Detection (SP)
|
100% |
2652
210.4 IPS |
|
|
Object Detection (HP)
|
100% |
19145
1.52 KIPS |
|
|
Object Detection (Q)
|
91% |
27203
2.17 KIPS |
|
|
Face Detection (SP)
|
100% |
4561
54.2 IPS |
|
|
Face Detection (HP)
|
100% |
46564
553.3 IPS |
|
|
Face Detection (Q)
|
100% |
67869
806.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9061
69.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
113296
872.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
193622
1.51 KIPS |
|
|
Style Transfer (SP)
|
100% |
27157
34.9 IPS |
|
|
Style Transfer (HP)
|
100% |
273123
351.1 IPS |
|
|
Style Transfer (Q)
|
96% |
377279
486.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5912
218.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
66956
2.47 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
101854
3.76 KIPS |
|
|
Text Classification (SP)
|
100% |
3240
4.32 KIPS |
|
|
Text Classification (HP)
|
100% |
7407
9.89 KIPS |
|
|
Text Classification (Q)
|
93% |
8005
10.7 KIPS |
|
|
Machine Translation (SP)
|
100% |
5103
87.9 IPS |
|
|
Machine Translation (HP)
|
100% |
17954
309.3 IPS |
|
|
Machine Translation (Q)
|
98% |
19165
331.2 IPS |
